Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
Responsibilities
Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs
Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models
Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability
Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams
Implement tests and data quality checks to ensure reliable and trustworthy datasets
Identify and eliminate duplicates, improve data consistency, and enforce clean modeling standards
Requirements
3+ years of experience as a Backend Engineer or in a data-focused engineering role
Proficiency in Python and SQL, with the ability to write clean, efficient code and queries
Hands-on experience working with relational databases, particularly Postgres
Experience designing schemas and building data models that reflect real-world business logic
Familiarity with DBT or similar data transformation frameworks
Strong understanding of data validation, testing, and quality assurance practices
Bonus
Familiarity with cloud-based data infrastructure or data orchestration tools
Experience with CI/CD practices for data pipelines and transformations
Benefits
Competitive salary and an equity sign-on bonus
Biannual bonus scheme
Fully expensed tech to match your needs
Paid annual leave
Breakfast and dinner for office based employees